We are in the era of semi-autonomous cars, where the driver is in control most of the time, but in critical scenarios, when the system understands that the driver is incapable of taking action, the car takes over decision-making. In such a system, consider a brain mobile interface app that helps drivers on a highway by monitoring their sleepiness. The driver wears a Neurosky headset that detects brain signals (EEG) at 500 Hz. Each brain data point is a 32-bit floating point number. The brain signal is collected by a smartphone and sent to a server, where complex machine-learning algorithms are used to determine the driver's level of drowsiness. In addition, the car is equipped with sensors on the steering wheel and a 360° camera, which are again connected to the individual's smartphone. The data rate of the sensors is 2 kbps, while that of the camera is 200 kbps. With this data, the driver assistance system also tries to predict impending accidents. If the driver is detected to be drowsy and an imminent accident is predicted, the driver assistance system must react with some action, be it automatic braking or steering. The driver assistance system only has 3 seconds to decide after collecting 5 seconds of data. There are two options for doing all the related calculations: 

a) use a data center and 

b) use a fog server, such as a laptop with internet connectivity that travels with the driver. The data center upload speed is 1 Mbps, while that of the fog server is 3 Mbps. However, the computing speed of the data center is 750kbps, that is, it can finish computing 750kb of data in 1 second, on the other hand, the server fog has a computing speed of 400 kbps. (1kb is 1024b)

Questions

1. What is the computing time of the cloud server in ms?

2. What is the communication time with the fog server (type a number, and round to the nearest integer in ms)?

3. What is the communication time on the cloud server (type an integer rounded to the nearest integer in ms)?

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